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Petrini J, Salgado RM, Rodriguez MAP, Machado PF, Mourão GB. Machine learning methods for the prediction of milk fatty acid content. INT J DAIRY TECHNOL 2022. [DOI: 10.1111/1471-0307.12877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Juliana Petrini
- Department of Animal Science University of São Paulo Piracicaba 13418‐900 Brazil
| | - Ricardo Menezes Salgado
- Department of Computer Science, Institute of Exact Sciences Federal University of Alfenas Alfenas 37130‐001 Brazil
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Dauria BD, Sigdel A, Petrini J, Bóscollo PP, Pilonetto F, Salvian M, Rezende FM, Pedrosa VB, Bittar CMM, Machado PF, Coutinho LL, Wiggans GR, Mourão GB. Genetic effects of heat stress on milk fatty acids in a Brazilian Holstein cattle. J Dairy Sci 2022; 105:3296-3305. [PMID: 35094861 DOI: 10.3168/jds.2021-20914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 10/13/2021] [Indexed: 11/19/2022]
Abstract
The present study aimed to estimate covariance components of milk fatty acids (FA) and to compare the genomic estimated breeding values under general and heat-stress effects. Data consisted of 38,762 test-day records from 6,344 Holstein cows obtained from May 2012 through January 2018 on 4 dairy herds from Brazil. Single-trait repeatability test-day models with random regressions as a function of temperature-humidity index values were used for genetic analyses. The models included contemporary groups, parity order (1-6), and days in milk classes as fixed effects, and general and thermotolerance additive genetic and permanent environmental as random effects. Notably, differences in heritability estimates between environments (general and heat stress) increased (0.03 to 0.06) for unsaturated FA traits, such as unsaturated, monounsaturated, and polyunsaturated, at higher heat-stress levels. In contrast, heritability estimated between environments for saturated FA traits, including saturated FA, palmitic acid (C16:0), and stearic acid (C18:0) did not observe significant differences between environments. In addition, our study revealed negative genetic correlations between general and heat-stress additive genetic effects (antagonistic effect) for the saturated FA, C16:0, C18:0, and C18:1, which ranged from -0.007 to -0.32. Spearman's ranking correlation between genomic estimated breeding values ranged from -0.27 to 0.99. Results indicated a moderate to strong interaction of genotype by the environment for most FA traits comparing a heat-stress environment with thermoneutral conditions. Our findings point out novel opportunities to explore the use of FA milk profile and heat-stress models.
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Affiliation(s)
- B D Dauria
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900, Brazil
| | - A Sigdel
- Department of Animal and Dairy Science, University of Wisconsin, Madison 53706
| | - J Petrini
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900, Brazil
| | - P P Bóscollo
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900, Brazil
| | - F Pilonetto
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900, Brazil
| | - M Salvian
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900, Brazil
| | - F M Rezende
- Department of Animal Sciences, University of Florida, Gainesville 32608
| | - V B Pedrosa
- Department of Animal Science, State University of Ponta Grossa, Ponta Grossa, PR 84030-900, Brazil
| | - C M M Bittar
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900, Brazil
| | - P F Machado
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900, Brazil
| | - L L Coutinho
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900, Brazil
| | - G R Wiggans
- Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705-2350
| | - G B Mourão
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900, Brazil.
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Colonia SRR, Oliveira ADC, Pilonetto F, Dauria BD, Mourão GB, Machado PF, Nogueira DA, Beijo LA, Petrini J. Genetic parameters for milk yield, casein percentage, subclinical mastitis incidence and sexual precocity using Bayesian linear and threshold models. ANIMAL PRODUCTION SCIENCE 2022. [DOI: 10.1071/an20313] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Abstract
The main objective of this review is to summarize the compositional characteristics and the health and functional properties of Mediterranean buffalo milk and whey derived from mozzarella cheese production. Several studies have investigated the composition of buffalo milk and in particular its fat, protein, and carbohydrates contents. These characteristics may change depending on the breed, feeding regime, and rearing system of the animals involved in the study, and also with the seasons. In particular, buffalo milk showed a higher nutritional value and higher levels of proteins, vitamins, and minerals when compared to milks produced by other animal species. Additionally, buffalo milk contains beneficial compounds such as gangliosides that can provide antioxidant protection and neuronal protection, and can improve bone, heart, and gastrointestinal health in humans.
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Carrara ER, Petrini J, Salvian M, de Oliveira HR, Rovadoscki GA, Iung LHDS, Miquilini M, Machado PF, Mourão GB. Genetic parameters for milk yield and quality traits of Brazilian Holstein cows as a function of temperature and humidity index. J Anim Breed Genet 2021; 138:643-654. [PMID: 34184799 DOI: 10.1111/jbg.12636] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 05/11/2021] [Accepted: 06/11/2021] [Indexed: 11/29/2022]
Abstract
Measurements of milk yield (MY), somatic cell score (SCS), percentage of fat (FP), protein (PP), lactose (LP), casein (CP) and percentage of palmitic (C16:0), stearic (C18:0), oleic (C18:1), total saturated (SFA), unsaturated (UFA), monounsaturated (MUFA) and polyunsaturated (PUFA) fatty acids in milk from 5,224 Holstein cows were evaluated as a function of a temperature and humidity index (THI). Legendre orthogonal polynomials from second to seventh order were tested. The best fit order for MY, PP and C18:0 was the third, whereas the second for all other traits. The heritability estimates decreased for MY (0.31 to 0.14), FP (0.28 to 0.16), LP (0.43 to 0.30), SCS (0.14 to 0.09), SFA (0.33 to 0.22) and C16:0 (0.31 to 0.26), whereas increased for CP (0.32 to 0.42), MUFA (0.08 to 0.13), UFA (0.07 to 0.11) and C18:1 (0.07 to 0.11) as the THI level increased. For PP, heritabilities (0.26 to 0.39) presented larger values in intermediate THI. For PUFA and C18:0, heritabilities were approximately constant (0.13 to 0.14 and 0.15, respectively). However, the greatest variations may have been the result of the limitations of Legendre polynomials at the extreme points of the curve, and the pattern of heritabilities curves was approximately constant for the evaluated traits. Spearman's rank correlations between breeding values in extreme THI levels were greater than 0.80 for all traits considering all animals, only cows and only bulls. When considering the top 1% and the top 50% animals (only cows, only bulls and all), Spearman correlations smaller than 0.70 were found, suggesting reranking of the animals. Although there was little variation in the variance components over THI, it is possible that there is no heat stress in the animals studied, because, on average, there was no great impact of the thermal load on the traits. One possible explanation is the use of herds with little climatic difference among herds, as well as the use of fans and sprinklers into the barns. However, the THI levels may be important factors in the selection process, as reranking of animals was verified.
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Affiliation(s)
| | - Juliana Petrini
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - Mayara Salvian
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - Hinayah Rojas de Oliveira
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, Canada
| | | | | | - Marina Miquilini
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
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van Rossem L, Smit HA, Armand M, Bernard JY, Bisgaard H, Bønnelykke K, Bruun S, Heude B, Husby S, Kyhl HB, Michaelsen KF, Stark KD, Thijs C, Vinding RK, Wijga AH, Lauritzen L. Breast milk n-3 long-chain polyunsaturated fatty acids and blood pressure: an individual participant meta-analysis. Eur J Nutr 2020; 60:989-998. [PMID: 32564149 PMCID: PMC7900030 DOI: 10.1007/s00394-020-02310-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 06/15/2020] [Indexed: 11/29/2022]
Abstract
Purpose It is controversial whether a higher intake of n-3 long-chain polyunsaturated fatty acids (n-3 LC PUFA) through breastfeeding is associated or not to a lower blood pressure (BP) during childhood. We aimed to clarify this point by undertaking a meta-analysis involving the data from seven European birth cohorts. Methods We searched https://www.birthcohort.net for studies that had collected breast milk samples, and had at least one BP measurement in childhood. Principal investigators were contacted, and all agreed to share data. One additional study was identified by contacts with the principal investigators. For each cohort, we analyzed the association of breast milk n-3 LC PUFAs with systolic and diastolic BP with linear mixed effects models or linear regression, and pooled the estimates with a random effects model. We also investigated age-specific and sex-specific associations. Results A total of 2188 participants from 7 cohorts were included. Overall, no associations between breast milk n-3 LC PUFAs and BP were observed. In the pooled analysis, each 0.1 wt% increment in breast milk docosahexaenoic acid (DHA) was associated with a 1.19 (95% CI − 3.31, 0.94) mmHg lower systolic BP. Associations were similar for boys and girls and at different ages. Conclusion In this individual participant meta-analysis, we found no evidence for an association between breast milk n-3 LC PUFAs and BP. Electronic supplementary material The online version of this article (10.1007/s00394-020-02310-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lenie van Rossem
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 GA, Utrecht, The Netherlands. .,Department of Obstetrics and Gynaecology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
| | - Henriette A Smit
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 GA, Utrecht, The Netherlands
| | | | - Jonathan Y Bernard
- Université de Paris, Centre for Research in Epidemiology and StatisticS (CRESS), INSERM, INRA, 75004, Paris, France
| | - Hans Bisgaard
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Klaus Bønnelykke
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Signe Bruun
- Strategic Business Unit Pediatric, Arla Foods Ingredients Group P/S, Viby J, Denmark.,Hans Christian Andersen Children's Hospital, Odense University Hospital, Odense, Denmark.,Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.,OPEN, Odense Patient Data Explorative Network, Odense University Hospital, Odense, Denmark
| | - Barbara Heude
- Université de Paris, Centre for Research in Epidemiology and StatisticS (CRESS), INSERM, INRA, 75004, Paris, France
| | - Steffen Husby
- Hans Christian Andersen Children's Hospital, Odense University Hospital, Odense, Denmark.,Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.,OPEN, Odense Patient Data Explorative Network, Odense University Hospital, Odense, Denmark
| | - Henriette B Kyhl
- Hans Christian Andersen Children's Hospital, Odense University Hospital, Odense, Denmark.,OPEN, Odense Patient Data Explorative Network, Odense University Hospital, Odense, Denmark
| | - Kim F Michaelsen
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Ken D Stark
- Department of Kinesiology, Faculty of Applied Health Sciences, University of Waterloo, Waterloo, Canada
| | - Carel Thijs
- Department of Epidemiology, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Rebecca K Vinding
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Alet H Wijga
- Center for Nutrition, Prevention, and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Lotte Lauritzen
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
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Carrara ER, de Genova Gaya L, de Paiva JT, Petrini J, Salvian M, Rovadoscki GA, Chaves Zanetti Reis A, Machado PF, Barreto Mourão G. Impact of inbreeding on milk fatty acids of a Brazilian Holstein cattle. ANIMAL PRODUCTION SCIENCE 2020. [DOI: 10.1071/an19240] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Context
Reproductive technologies may either contribute to the increase of genetic gains or inbreeding levels in dairy cattle breeding programs and herds. In general, studies have evaluated the impacts of inbreeding on traditional traits, such as production and reproduction. However, studies on novel traits, such as milk fatty acids profile, are scarce in the literature.
Aim
We aimed to evaluate the impact of inbreeding levels on milk fatty acids profile measured in a Brazilian Holstein cattle population.
Methods
Monthly records of the percentages (%) of palmitic, stearic, oleic, total saturated, unsaturated, monounsaturated and polyunsaturated fatty acids in milk were collected from 2047 Holstein cows between May and December 2012. The pedigree file contained 7963 animals over seven generations. The inbreeding trend was evaluated by linear regression of inbreeding coefficients on generations. The inbreeding impacts on breeding and phenotypic values were evaluated by linear regression of breeding values and phenotypic values on generations respectively. Breeding values were obtained by a Bayesian approach based on an animal model that included the systematic effect of contemporary group, cubic effect of days in milk as a covariate, and the random direct additive genetic and animal permanent environmental effects.
Key results
The average inbreeding coefficient was 0.28% for all animals, and 1.39% for inbred animals. Inbreeding tended to increase 0.24% per generation (P-value <0.0001). The regression coefficients of phenotypic values on inbreeding were not significant for saturated, unsaturated, monounsaturated, palmitic, stearic and oleic fatty acids (P-values >0.18, 0.10, 0.16, 0.26, 0.51 and 0.09 respectively); whereas for polyunsaturated fatty acids, they were significant (P-value <0.04), with an increase of –0.000978% on phenotypic values for each 1% increase in inbreeding. The regression coefficients of breeding values on inbreeding were not significant for unsaturated, monounsaturated, polyunsaturated, stearic and oleic fatty acids (P-values >0.33, 0.78, 0.48, 0.32 and 0.07 respectively). However, they were significant for saturated and palmitic fatty acids (P-values <0.03 and 0.0001 respectively), presenting an increase of 0.000689% and 0.000283% respectively on breeding values for each 1% increase in inbreeding.
Conclusions
There was a significant increase in inbreeding coefficients over the studied generations; however, the impacts on both breeding and phenotypic values were small, when significant.
Implications
Our study may contribute to the understanding of how inbreeding levels may affect the fatty acids profile in a Brazilian Holstein cattle population, as well as encourage future research on this subject.
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8
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Genetic and phenotypic trends for milk fatty acids in a Holstein cattle population reared under tropical conditions. Livest Sci 2019. [DOI: 10.1016/j.livsci.2019.08.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Petrini J, Souza Iung LH, Petersen Rodriguez MA, Salvian M, Alberto Rovadoscki G, Colonia SRR, Cassoli LD, Lehmann Coutinho L, Fernando Machado P, Wiggans G, Mourão GB. Assessing the accuracy of prediction for milk fatty acids by using a small reference population of tropical Holstein cows. J Anim Breed Genet 2019; 136:453-463. [DOI: 10.1111/jbg.12434] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 08/01/2019] [Accepted: 08/05/2019] [Indexed: 11/28/2022]
Affiliation(s)
- Juliana Petrini
- Department of Animal Science University of São Paulo Piracicaba Brazil
- Department of Statistics, Institute of Exact Sciences Federal University of Alfenas Alfenas Brazil
| | | | | | - Mayara Salvian
- Department of Animal Science University of São Paulo Piracicaba Brazil
| | | | | | | | | | | | - George Wiggans
- Animal Genomics and Improvement Laboratory, Agricultural Research Service USDA Beltsville Maryland
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Iung LHS, Petrini J, Ramírez-Díaz J, Salvian M, Rovadoscki GA, Pilonetto F, Dauria BD, Machado PF, Coutinho LL, Wiggans GR, Mourão GB. Genome-wide association study for milk production traits in a Brazilian Holstein population. J Dairy Sci 2019; 102:5305-5314. [PMID: 30904307 DOI: 10.3168/jds.2018-14811] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 10/19/2018] [Indexed: 12/19/2022]
Abstract
Advances in the molecular area of selection have expanded knowledge of the genetic architecture of complex traits through genome-wide association studies (GWAS). Several GWAS have been performed so far, but confirming these results is not always possible due to several factors, including environmental conditions. Thus, our objective was to identify genomic regions associated with traditional milk production traits, including milk yield, somatic cell score, fat, protein and lactose percentages, and fatty acid composition in a Holstein cattle population producing under tropical conditions. For this, 75,228 phenotypic records from 5,981 cows and genotypic data of 56,256 SNP from 1,067 cows were used in a weighted single-step GWAS. A total of 46 windows of 10 SNP explaining more than 1% of the genetic variance across 10 Bos taurus autosomes (BTA) harbored well-known and novel genes. The MGST1 (BTA5), ABCG2 (BTA6), DGAT1 (BTA14), and PAEP (BTA11) genes were confirmed within some of the regions identified in our study. Potential novel genes involved in tissue damage and repair of the mammary gland (COL18A1), immune response (LTTC19), glucose homeostasis (SLC37A1), synthesis of unsaturated fatty acids (LTBP1), and sugar transport (SLC37A1 and MFSD4A) were found for milk yield, somatic cell score, fat percentage, and fatty acid composition. Our findings may assist genomic selection by using these regions to design a customized SNP array to improve milk production traits on farms with similar environmental conditions.
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Affiliation(s)
- L H S Iung
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil
| | - J Petrini
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil
| | - J Ramírez-Díaz
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil
| | - M Salvian
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil
| | - G A Rovadoscki
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil
| | - F Pilonetto
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil
| | - B D Dauria
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil
| | - P F Machado
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil
| | - L L Coutinho
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil
| | - G R Wiggans
- Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705-2350
| | - G B Mourão
- Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil.
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Ullah R, Khan S, Ali H, Bilal M, Saleem M. Identification of cow and buffalo milk based on Beta carotene and vitamin-A concentration using fluorescence spectroscopy. PLoS One 2017; 12:e0178055. [PMID: 28542353 PMCID: PMC5436857 DOI: 10.1371/journal.pone.0178055] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Accepted: 05/08/2017] [Indexed: 11/18/2022] Open
Abstract
The current study presents the application of fluorescence spectroscopy for the identification of cow and buffalo milk based on β-carotene and vitamin-A which is of prime importance from the nutritional point of view. All samples were collected from healthy animals of different breeds at the time of lactation in the vicinity of Islamabad, Pakistan. Cow and buffalo milk shows differences at fluorescence emission appeared at band position 382 nm, 440 nm, 505 nm and 525 nm both in classical geometry (right angle) setup as well as front face fluorescence setup. In front face fluorescence geometry, synchronous fluorescence emission shows clear differences at 410 nm and 440 nm between the milk samples of both these species. These fluorescence emissions correspond to fats, vitamin-A and β-carotene. Principal Component Analysis (PCA) further highlighted these differences by showing clear separation between the two data sets on the basis of features obtained from their fluorescence emission spectra. These results indicate that classical geometry (fixed excitation wavelength) as well as front face (synchronous fluorescence emission) of cow and buffalo milk nutrients could be used as fingerprint from identification point of view. This same approach can effectively be used for the determination of adulterants in the milk and other dairy products.
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Affiliation(s)
- Rahat Ullah
- Agri. & Biophotonics Division, National Institute of Lasers and Optronics (NILOP), Nilore, Islamabad, Pakistan
| | - Saranjam Khan
- Agri. & Biophotonics Division, National Institute of Lasers and Optronics (NILOP), Nilore, Islamabad, Pakistan
| | - Hina Ali
- Agri. & Biophotonics Division, National Institute of Lasers and Optronics (NILOP), Nilore, Islamabad, Pakistan
| | - Muhammad Bilal
- Agri. & Biophotonics Division, National Institute of Lasers and Optronics (NILOP), Nilore, Islamabad, Pakistan
| | - Muhammad Saleem
- Agri. & Biophotonics Division, National Institute of Lasers and Optronics (NILOP), Nilore, Islamabad, Pakistan
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12
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Bunaciu AA, Aboul-Enein HY, Hoang VD. RETRACTED: Vibrational spectroscopy used in milk products analysis: A review. Food Chem 2016; 196:877-84. [DOI: 10.1016/j.foodchem.2015.10.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Revised: 08/20/2015] [Accepted: 10/05/2015] [Indexed: 01/04/2023]
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13
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Petrini J, Iung LHS, Rodriguez MAP, Salvian M, Pértille F, Rovadoscki GA, Cassoli LD, Coutinho LL, Machado PF, Wiggans GR, Mourão GB. Genetic parameters for milk fatty acids, milk yield and quality traits of a Holstein cattle population reared under tropical conditions. J Anim Breed Genet 2016; 133:384-95. [PMID: 26968150 DOI: 10.1111/jbg.12205] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Accepted: 01/30/2016] [Indexed: 12/19/2022]
Abstract
Information about genetic parameters is essential for selection decisions and genetic evaluation. These estimates are population specific; however, there are few studies with dairy cattle populations reared under tropical and sub-tropical conditions. Thus, the aim was to obtain estimates of heritability and genetic correlations for milk yield and quality traits using pedigree and genomic information from a Holstein population maintained in a tropical environment. Phenotypic records (n = 36 457) of 4203 cows as well as the genotypes for 57 368 single nucleotide polymorphisms from 755 of these cows were used. Covariance components were estimated using the restricted maximum likelihood method under a mixed animal model, considering a pedigree-based relationship matrix or a combined pedigree-genomic matrix. High heritabilities (around 0.30) were estimated for lactose and protein content in milk whereas moderate values (between 0.19 and 0.26) were obtained for percentages of fat, saturated fatty acids and palmitic acid in milk. Genetic correlations ranging from -0.38 to -0.13 were determined between milk yield and composition traits. The smaller estimates compared to other similar studies can be due to poor environmental conditions, which may reduce genetic variability. These results highlight the importance in using genetic parameters estimated in the population under evaluation for selection decisions.
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Affiliation(s)
- J Petrini
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - L H S Iung
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - M A P Rodriguez
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - M Salvian
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - F Pértille
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - G A Rovadoscki
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - L D Cassoli
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - L L Coutinho
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - P F Machado
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil
| | - G R Wiggans
- Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, MD, USA
| | - G B Mourão
- Department of Animal Science, University of São Paulo, Piracicaba, Brazil.
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